How to use handleTable method of conceptExtractor Package

Best Gauge code snippet using conceptExtractor.handleTable

conceptExtractor.go

Source: conceptExtractor.go Github

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...144 for _, step := range e.stepsToExtract {145 tokens, _ := new(parser.SpecParser).GenerateTokens("*"+step.GetName(), cptFileName)146 stepInConcept, _ := parser.CreateStepUsingLookup(tokens[0], nil, cptFileName)147 if step.GetTable() != "" {148 if err := e.handleTable(stepInConcept, step, cptFileName); err != nil {149 return err150 }151 }152 stepInConcept.ReplaceArgsWithDynamic(e.conceptStep.Args)153 e.stepsInConcept += formatter.FormatStep(stepInConcept)154 }155 return nil156}157func (e *extractor) handleTable(stepInConcept *gauge.Step, step *gm.Step, cptFileName string) error {158 stepInConcept.Value += " {}"159 specText := e.fileContent + step.GetTable()160 spec, result, err := new(parser.SpecParser).Parse(specText, &gauge.ConceptDictionary{}, cptFileName)161 if err != nil {162 return err163 }164 if !result.Ok {165 for _, err := range result.ParseErrors {166 e.errors = append(e.errors, err)167 }168 return nil169 }170 stepArgs := []*gauge.StepArg{spec.Scenarios[0].Steps[0].Args[0]}171 e.addTableAsParam(step, stepArgs)...

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handleTable

Using AI Code Generation

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1import "fmt"2func main() {3 fmt.Println("Hello, World!")4}5import "fmt"6func main() {7 fmt.Println("Hello, World!")8}9import "fmt"10func main() {11 fmt.Println("Hello, World!")12}13import "fmt"14func main() {15 fmt.Println("Hello, World!")16}17import "fmt"18func main() {19 fmt.Println("Hello, World!")20}21import "fmt"22func main() {23 fmt.Println("Hello, World!")24}25import "fmt"26func main() {27 fmt.Println("Hello, World!")28}29import "fmt"30func main() {31 fmt.Println("Hello, World!")32}33import "fmt"34func main() {35 fmt.Println("Hello, World!")36}37import "fmt"38func main() {39 fmt.Println("Hello, World!")40}41import "fmt"42func main() {43 fmt.Println("Hello, World!")44}45import "fmt"46func main() {47 fmt.Println("Hello, World!")48}49import "fmt"50func main() {51 fmt.Println("Hello, World!")52}

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handleTable

Using AI Code Generation

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1func main() {2 conceptExtractor.handleTable()3}4func main() {5 conceptExtractor.handleTable()6}7func main() {8 conceptExtractor.handleTable()9}10func main() {11 conceptExtractor.handleTable()12}13func main() {14 conceptExtractor.handleTable()15}16func main() {17 conceptExtractor.handleTable()18}19func main() {20 conceptExtractor.handleTable()21}22func main() {23 conceptExtractor.handleTable()24}25func main() {26 conceptExtractor.handleTable()27}28func main() {29 conceptExtractor.handleTable()30}31func main() {32 conceptExtractor.handleTable()33}34func main() {35 conceptExtractor.handleTable()36}37func main() {38 conceptExtractor.handleTable()39}40func main() {41 conceptExtractor.handleTable()42}

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handleTable

Using AI Code Generation

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1import (2type conceptExtractor struct {3}4func (c *conceptExtractor) handleTable(table *xlsx.Sheet) {5 for _, row := range table.Rows {6 for _, cell := range row.Cells {7", cell.String())8 if strings.Contains(cell.String(), "concept") {9 c.Concepts[table.Name] = make(map[string]string)10 for _, cell := range row.Cells {11", cell.String())12 if strings.Contains(cell.String(), "concept") {13 c.Concepts[table.Name]["concept"] = strings.Split(cell.String(), ":")[1]14 }15 if strings.Contains(cell.String(), "conceptType") {16 c.Concepts[table.Name]["conceptType"] = strings.Split(cell.String(), ":")[1]17 }18 if strings.Contains(cell.String(), "conceptDescription") {19 c.Concepts[table.Name]["conceptDescription"] = strings.Split(cell.String(), ":")[1]20 }21 if strings.Contains(cell.String(), "conceptSource") {22 c.Concepts[table.Name]["conceptSource"] = strings.Split(cell.String(), ":")[1]23 }24 }

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handleTable

Using AI Code Generation

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1import (2type conceptExtractor struct {3}4func (ce *conceptExtractor) handleTable(tableStr string) {5}6func main() {7}8import (9type conceptExtractor struct {10}11func (ce *conceptExtractor) handleTable(tableStr string) {12}13func main() {14}15import (16type conceptExtractor struct {17}18func (ce *conceptExtractor) handleTable(tableStr string) {19}20func main() {21}22import (23type conceptExtractor struct {24}25func (ce *conceptExtractor) handleTable(tableStr string) {26}27func main() {28}29import (30type conceptExtractor struct {31}32func (ce *conceptExtractor) handleTable(tableStr string) {33}34func main() {35}

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handleTable

Using AI Code Generation

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1import (2type ConceptExtractor struct {3}4func (c *ConceptExtractor) handleTable(table []string) []string {5 concepts := make([]string, 0)6 for _, line := range table {7 words := strings.Split(line, " ")8 for _, word := range words {9 if contains(c.Concepts, word) {10 concepts = append(concepts, word)11 }12 }13 }14}15func contains(a []string, x string) bool {16 for _, n := range a {17 if x == n {18 }19 }20}21func main() {22 file, err := os.Open("Concepts.txt")23 if err != nil {24 fmt.Println("Error in opening file")25 }26 defer file.Close()27 scanner := bufio.NewScanner(file)28 scanner.Split(bufio.ScanLines)29 for scanner.Scan() {30 lines = append(lines, scanner.Text())31 }32 ce := ConceptExtractor{}33 table, err := ioutil.ReadFile("Table.txt")34 if err != nil {35 fmt.Println("Error in opening file")36 }37 concepts := ce.handleTable(strings.Split(string(table), "38 fmt.Println(concepts)39 file, err = os.Create("Output.txt")40 if err != nil {41 fmt.Println("Error in opening file")42 }43 defer file.Close()44 writer := bufio.NewWriter(file)45 for _, concept := range concepts {46 fmt.Fprintln(writer, concept)47 }48 writer.Flush()49}50import (51type ConceptExtractor struct {52}53func (c *ConceptExtractor) handleTable(table []string)

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